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Paper Citation Record · LEDGER

Learning with Non-Convex Truncated Losses by SGD

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1805.07880.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1805.07880 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:09:34.401796Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-14T11:05:32.450699Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0a7e19b0-0d27-403b-8165-c45b0b8069ac · inbound

Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints cites this paper.

Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints Learning with Non-Convex Truncated Losses by SGD

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-14T15:09:34.401796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:09:34.401796Z digest=sha256:d25bf8a81f8b66d07b92448aae5751017ade5226c53565edea8d00621acff136

Observation 71d4d71a-570d-41c7-a76d-35c5bc6ab835 · inbound

Stochastic Optimization for Non-convex Inf-Projection Problems cites this paper.

Stochastic Optimization for Non-convex Inf-Projection Problems Learning with Non-Convex Truncated Losses by SGD

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-14T11:05:32.455794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T11:05:32.369156Z digest=sha256:a850487f5340107741a4d3df3bb0826a343f7e7417d6d9299361f9f8131865b0